A Scaling Model for Estimating Time-Series Party Positions from Texts

  • Jonathan B. Slapin
  • Published 2008

Abstract

Recent advances in computational content analysis have provided scholars promising new ways for estimating party positions. However, existing text-based methods face challenges in producing valid and reliable time-series data. This article proposes a scaling algorithm called WORDFISH to estimate policy positions based on word frequencies in texts. The… (More)

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@inproceedings{Slapin2008ASM, title={A Scaling Model for Estimating Time-Series Party Positions from Texts}, author={Jonathan B. Slapin}, year={2008} }